Task 2806870
| Name | rand_automata_0069-1604985008-5172-0_1 |
| Workunit | 1264533 |
| Created | 10 Nov 2020, 5:59:22 UTC |
| Sent | 10 Nov 2020, 6:02:35 UTC |
| Report deadline | 11 Nov 2020, 4:32:35 UTC |
| Received | 10 Nov 2020, 22:10:55 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 563 |
| Run time | 23 min 10 sec |
| CPU time | 22 min 34 sec |
| Validate state | Valid |
| Credit | 959.40 |
| Device peak FLOPS | 5,442.60 GFLOPS |
| Application version | Machine Learning Dataset Generator (test) v9.75 (cuda10200) windows_x86_64 |
| Peak working set size | 1.95 GB |
| Peak swap size | 3.87 GB |
| Peak disk usage | 1.54 GB |
Stderr output
<core_client_version>7.16.5</core_client_version> <![CDATA[ <stderr_txt> Machine Learning Dataset Generator v9.75 (Windows/x64) (libTorch: release/1.6 GPU: GeForce GTX 1660 Ti) [2020-11-10 22:47:48 main:435] : INFO : Set logging level to 1 [2020-11-10 22:47:48 main:441] : INFO : Running in BOINC Client mode [2020-11-10 22:47:49 main:444] : INFO : Resolving all filenames [2020-11-10 22:47:49 main:452] : INFO : Resolved: dataset.hdf5 => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0069-train-val-dataset.hdf5 (exists = 1) [2020-11-10 22:47:49 main:452] : INFO : Resolved: model.cfg => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0069-1604985008-5172-0_1_r340635583_1 (exists = 0) [2020-11-10 22:47:49 main:452] : INFO : Resolved: model-final.pt => ../../projects/www.mlcathome.org_mlcathome/rand_automata_0069-1604985008-5172-0_1_r340635583_0 (exists = 0) [2020-11-10 22:47:49 main:452] : INFO : Resolved: model-input.pt => model-input.pt (exists = 0) [2020-11-10 22:47:49 main:452] : INFO : Resolved: snapshot.pt => snapshot.pt (exists = 0) [2020-11-10 22:47:49 main:472] : INFO : Dataset filename: ../../projects/www.mlcathome.org_mlcathome/rand_automata_0069-train-val-dataset.hdf5 [2020-11-10 22:47:49 main:474] : INFO : Configuration: [2020-11-10 22:47:49 main:475] : INFO : Model type: LSTM [2020-11-10 22:47:49 main:476] : INFO : Validation Loss Threshold: 0.0001 [2020-11-10 22:47:49 main:477] : INFO : Max Epochs: 192 [2020-11-10 22:47:49 main:478] : INFO : Batch Size: 32 [2020-11-10 22:47:49 main:479] : INFO : Learning Rate: 0.001 [2020-11-10 22:47:49 main:480] : INFO : Patience: 10 [2020-11-10 22:47:49 main:481] : INFO : Hidden Width: 64 [2020-11-10 22:47:49 main:482] : INFO : # Recurrent Layers: 4 [2020-11-10 22:47:49 main:483] : INFO : # Backend Layers: 2 [2020-11-10 22:47:49 main:484] : INFO : # Threads: 1 [2020-11-10 22:47:49 main:486] : INFO : Preparing Dataset [2020-11-10 22:47:49 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0069-train-val-dataset.hdf5 into memory [2020-11-10 22:47:50 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yt from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0069-train-val-dataset.hdf5 into memory [2020-11-10 22:47:51 load:106] : INFO : Successfully loaded dataset of 4096 examples into memory. [2020-11-10 22:47:51 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Xv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0069-train-val-dataset.hdf5 into memory [2020-11-10 22:47:51 load_hdf5_ds_into_tensor:28] : INFO : Loading Dataset /Yv from ../../projects/www.mlcathome.org_mlcathome/rand_automata_0069-train-val-dataset.hdf5 into memory [2020-11-10 22:47:51 load:106] : INFO : Successfully loaded dataset of 512 examples into memory. [2020-11-10 22:47:51 main:494] : INFO : Creating Model [2020-11-10 22:47:52 main:507] : INFO : Preparing config file [2020-11-10 22:47:52 main:519] : INFO : Creating new config file [2020-11-10 22:47:53 main:559] : INFO : Loading DataLoader into Memory [2020-11-10 22:47:53 main:562] : INFO : Starting Training [2020-11-10 22:48:01 main:574] : INFO : Epoch 1 | loss: 0.0660208 | val_loss: 0.0658376 | Time: 7515.39 ms [2020-11-10 22:48:08 main:574] : INFO : Epoch 2 | loss: 0.0648344 | val_loss: 0.0637025 | Time: 6978.25 ms [2020-11-10 22:48:15 main:574] : INFO : Epoch 3 | loss: 0.0622637 | val_loss: 0.0606804 | Time: 6988.83 ms [2020-11-10 22:48:22 main:574] : INFO : Epoch 4 | loss: 0.0591956 | val_loss: 0.0579117 | Time: 7026.79 ms [2020-11-10 22:48:29 main:574] : INFO : Epoch 5 | loss: 0.0567402 | val_loss: 0.0559482 | Time: 6986.15 ms [2020-11-10 22:48:36 main:574] : INFO : Epoch 6 | loss: 0.0549877 | val_loss: 0.0543512 | Time: 6937.65 ms [2020-11-10 22:48:43 main:574] : INFO : Epoch 7 | loss: 0.0535478 | val_loss: 0.0529968 | Time: 7006.42 ms [2020-11-10 22:48:50 main:574] : INFO : Epoch 8 | loss: 0.0521828 | val_loss: 0.0517476 | Time: 7120.61 ms [2020-11-10 22:48:57 main:574] : INFO : Epoch 9 | loss: 0.050783 | val_loss: 0.050318 | Time: 7107.56 ms [2020-11-10 22:49:04 main:574] : INFO : Epoch 10 | loss: 0.0493132 | val_loss: 0.0488406 | Time: 7048.35 ms [2020-11-10 22:49:12 main:574] : INFO : Epoch 11 | loss: 0.0476533 | val_loss: 0.0471215 | Time: 7177.09 ms [2020-11-10 22:49:19 main:574] : INFO : Epoch 12 | loss: 0.0458477 | val_loss: 0.0453906 | Time: 7084.16 ms [2020-11-10 22:49:26 main:574] : INFO : Epoch 13 | loss: 0.0437661 | val_loss: 0.0431406 | Time: 7110.8 ms [2020-11-10 22:49:33 main:574] : INFO : Epoch 14 | loss: 0.0413769 | val_loss: 0.0408495 | Time: 7089.65 ms [2020-11-10 22:49:40 main:574] : INFO : Epoch 15 | loss: 0.0387047 | val_loss: 0.0386777 | Time: 7000.99 ms [2020-11-10 22:49:47 main:574] : INFO : Epoch 16 | loss: 0.0357969 | val_loss: 0.0353076 | Time: 7061.84 ms [2020-11-10 22:49:54 main:574] : INFO : Epoch 17 | loss: 0.0325237 | val_loss: 0.0325483 | Time: 7111.14 ms [2020-11-10 22:50:01 main:574] : INFO : Epoch 18 | loss: 0.0290971 | val_loss: 0.0294296 | Time: 7028.2 ms [2020-11-10 22:50:08 main:574] : INFO : Epoch 19 | loss: 0.0264345 | val_loss: 0.0257843 | Time: 7021.82 ms [2020-11-10 22:50:16 main:574] : INFO : Epoch 20 | loss: 0.023512 | val_loss: 0.0241078 | Time: 7081.54 ms [2020-11-10 22:50:23 main:574] : INFO : Epoch 21 | loss: 0.020863 | val_loss: 0.0326082 | Time: 7202.13 ms [2020-11-10 22:50:30 main:574] : INFO : Epoch 22 | loss: 0.0191704 | val_loss: 0.0179512 | Time: 7073.36 ms [2020-11-10 22:50:37 main:574] : INFO : Epoch 23 | loss: 0.0178536 | val_loss: 0.0165681 | Time: 7034.97 ms [2020-11-10 22:50:44 main:574] : INFO : Epoch 24 | loss: 0.0166391 | val_loss: 0.0177781 | Time: 6990.23 ms [2020-11-10 22:50:51 main:574] : INFO : Epoch 25 | loss: 0.0142764 | val_loss: 0.0175484 | Time: 6972.9 ms [2020-11-10 22:50:58 main:574] : INFO : Epoch 26 | loss: 0.0146239 | val_loss: 0.0123253 | Time: 7062.32 ms [2020-11-10 22:51:05 main:574] : INFO : Epoch 27 | loss: 0.0108404 | val_loss: 0.0108976 | Time: 7004.2 ms [2020-11-10 22:51:13 main:574] : INFO : Epoch 28 | loss: 0.00949227 | val_loss: 0.00916016 | Time: 7172.74 ms [2020-11-10 22:51:20 main:574] : INFO : Epoch 29 | loss: 0.00857219 | val_loss: 0.00861374 | Time: 7144.74 ms [2020-11-10 22:51:27 main:574] : INFO : Epoch 30 | loss: 0.00802487 | val_loss: 0.00976236 | Time: 7184.47 ms [2020-11-10 22:51:34 main:574] : INFO : Epoch 31 | loss: 0.00826562 | val_loss: 0.00784023 | Time: 7166.08 ms [2020-11-10 22:51:41 main:574] : INFO : Epoch 32 | loss: 0.00788784 | val_loss: 0.00739694 | Time: 6997.17 ms [2020-11-10 22:51:49 main:574] : INFO : Epoch 33 | loss: 0.00692298 | val_loss: 0.00695668 | Time: 7094.29 ms [2020-11-10 22:51:56 main:574] : INFO : Epoch 34 | loss: 0.006588 | val_loss: 0.00663135 | Time: 7062.68 ms [2020-11-10 22:52:03 main:574] : INFO : Epoch 35 | loss: 0.00630032 | val_loss: 0.00632316 | Time: 7005.52 ms [2020-11-10 22:52:10 main:574] : INFO : Epoch 36 | loss: 0.00604853 | val_loss: 0.00615733 | Time: 6974.43 ms [2020-11-10 22:52:17 main:574] : INFO : Epoch 37 | loss: 0.00595554 | val_loss: 0.00577797 | Time: 7057.18 ms [2020-11-10 22:52:24 main:574] : INFO : Epoch 38 | loss: 0.00552901 | val_loss: 0.0055654 | Time: 6995.13 ms [2020-11-10 22:52:31 main:574] : INFO : Epoch 39 | loss: 0.00528809 | val_loss: 0.00526864 | Time: 6993.61 ms [2020-11-10 22:52:38 main:574] : INFO : Epoch 40 | loss: 0.00505447 | val_loss: 0.00504783 | Time: 7155.81 ms [2020-11-10 22:52:46 main:574] : INFO : Epoch 41 | loss: 0.00484153 | val_loss: 0.00482371 | Time: 7132.66 ms [2020-11-10 22:52:53 main:574] : INFO : Epoch 42 | loss: 0.00462213 | val_loss: 0.00461295 | Time: 7113.18 ms [2020-11-10 22:53:00 main:574] : INFO : Epoch 43 | loss: 0.00443139 | val_loss: 0.00440866 | Time: 7161.38 ms [2020-11-10 22:53:07 main:574] : INFO : Epoch 44 | loss: 0.00422237 | val_loss: 0.00420727 | Time: 7082.38 ms [2020-11-10 22:53:14 main:574] : INFO : Epoch 45 | loss: 0.00403707 | val_loss: 0.00402081 | Time: 7125.9 ms [2020-11-10 22:53:22 main:574] : INFO : Epoch 46 | loss: 0.00385488 | val_loss: 0.00384467 | Time: 7236.1 ms [2020-11-10 22:53:29 main:574] : INFO : Epoch 47 | loss: 0.00368336 | val_loss: 0.00367225 | Time: 7179.84 ms [2020-11-10 22:53:36 main:574] : INFO : Epoch 48 | loss: 0.00351594 | val_loss: 0.00352421 | Time: 7140.82 ms [2020-11-10 22:53:43 main:574] : INFO : Epoch 49 | loss: 0.0033549 | val_loss: 0.00334183 | Time: 7105.44 ms [2020-11-10 22:53:50 main:574] : INFO : Epoch 50 | loss: 0.00320029 | val_loss: 0.00317883 | Time: 7011.97 ms [2020-11-10 22:53:57 main:574] : INFO : Epoch 51 | loss: 0.00305198 | val_loss: 0.00303115 | Time: 6998.62 ms [2020-11-10 22:54:04 main:574] : INFO : Epoch 52 | loss: 0.00291087 | val_loss: 0.00289231 | Time: 7117.11 ms [2020-11-10 22:54:12 main:574] : INFO : Epoch 53 | loss: 0.00277761 | val_loss: 0.00275646 | Time: 7044.38 ms [2020-11-10 22:54:19 main:574] : INFO : Epoch 54 | loss: 0.00264849 | val_loss: 0.00263183 | Time: 7129.83 ms [2020-11-10 22:54:26 main:574] : INFO : Epoch 55 | loss: 0.00252626 | val_loss: 0.00250447 | Time: 7123.94 ms [2020-11-10 22:54:33 main:574] : INFO : Epoch 56 | loss: 0.00240829 | val_loss: 0.00237746 | Time: 7051.76 ms [2020-11-10 22:54:40 main:574] : INFO : Epoch 57 | loss: 0.00229584 | val_loss: 0.0022703 | Time: 6890.04 ms [2020-11-10 22:54:47 main:574] : INFO : Epoch 58 | loss: 0.00218723 | val_loss: 0.00215655 | Time: 7048.56 ms [2020-11-10 22:54:54 main:574] : INFO : Epoch 59 | loss: 0.00208515 | val_loss: 0.00205809 | Time: 7108.09 ms [2020-11-10 22:55:01 main:574] : INFO : Epoch 60 | loss: 0.00198746 | val_loss: 0.00196222 | Time: 7191.52 ms [2020-11-10 22:55:09 main:574] : INFO : Epoch 61 | loss: 0.00189293 | val_loss: 0.00186889 | Time: 7020.95 ms [2020-11-10 22:55:16 main:574] : INFO : Epoch 62 | loss: 0.00180349 | val_loss: 0.00177787 | Time: 6965.07 ms [2020-11-10 22:55:23 main:574] : INFO : Epoch 63 | loss: 0.00171706 | val_loss: 0.00169766 | Time: 7061.79 ms [2020-11-10 22:55:30 main:574] : INFO : Epoch 64 | loss: 0.00163659 | val_loss: 0.00161489 | Time: 7079.58 ms [2020-11-10 22:55:37 main:574] : INFO : Epoch 65 | loss: 0.00155883 | val_loss: 0.00153583 | Time: 7137.11 ms [2020-11-10 22:55:44 main:574] : INFO : Epoch 66 | loss: 0.00148321 | val_loss: 0.00146361 | Time: 7072.01 ms [2020-11-10 22:55:51 main:574] : INFO : Epoch 67 | loss: 0.00141368 | val_loss: 0.00139143 | Time: 7127.39 ms [2020-11-10 22:55:58 main:574] : INFO : Epoch 68 | loss: 0.00134426 | val_loss: 0.00132391 | Time: 7036.62 ms [2020-11-10 22:56:05 main:574] : INFO : Epoch 69 | loss: 0.00127964 | val_loss: 0.00126046 | Time: 7023.69 ms [2020-11-10 22:56:13 main:574] : INFO : Epoch 70 | loss: 0.00121773 | val_loss: 0.0012054 | Time: 7207.22 ms [2020-11-10 22:56:20 main:574] : INFO : Epoch 71 | loss: 0.00116083 | val_loss: 0.00114326 | Time: 7161.97 ms [2020-11-10 22:56:27 main:574] : INFO : Epoch 72 | loss: 0.00110446 | val_loss: 0.00109495 | Time: 7001.91 ms [2020-11-10 22:56:34 main:574] : INFO : Epoch 73 | loss: 0.00105327 | val_loss: 0.00104051 | Time: 7013.24 ms [2020-11-10 22:56:41 main:574] : INFO : Epoch 74 | loss: 0.00100408 | val_loss: 0.000988407 | Time: 7205.02 ms [2020-11-10 22:56:49 main:574] : INFO : Epoch 75 | loss: 0.000955502 | val_loss: 0.000944212 | Time: 7125.85 ms [2020-11-10 22:56:56 main:574] : INFO : Epoch 76 | loss: 0.000912345 | val_loss: 0.000902194 | Time: 7097.45 ms [2020-11-10 22:57:03 main:574] : INFO : Epoch 77 | loss: 0.000869114 | val_loss: 0.00085961 | Time: 7151.02 ms [2020-11-10 22:57:10 main:574] : INFO : Epoch 78 | loss: 0.000830053 | val_loss: 0.000819186 | Time: 7052.58 ms [2020-11-10 22:57:17 main:574] : INFO : Epoch 79 | loss: 0.000792964 | val_loss: 0.000781222 | Time: 7178.34 ms [2020-11-10 22:57:24 main:574] : INFO : Epoch 80 | loss: 0.000757024 | val_loss: 0.000747677 | Time: 7064.48 ms [2020-11-10 22:57:32 main:574] : INFO : Epoch 81 | loss: 0.000723121 | val_loss: 0.000719705 | Time: 7208.8 ms [2020-11-10 22:57:39 main:574] : INFO : Epoch 82 | loss: 0.000691793 | val_loss: 0.000684428 | Time: 7084.3 ms [2020-11-10 22:57:46 main:574] : INFO : Epoch 83 | loss: 0.000661332 | val_loss: 0.000655561 | Time: 7093.44 ms [2020-11-10 22:57:53 main:574] : INFO : Epoch 84 | loss: 0.000632957 | val_loss: 0.000628089 | Time: 7065.57 ms [2020-11-10 22:58:00 main:574] : INFO : Epoch 85 | loss: 0.00060527 | val_loss: 0.000597146 | Time: 7145.57 ms [2020-11-10 22:58:08 main:574] : INFO : Epoch 86 | loss: 0.000580237 | val_loss: 0.000573004 | Time: 7139.43 ms [2020-11-10 22:58:15 main:574] : INFO : Epoch 87 | loss: 0.00055617 | val_loss: 0.000550548 | Time: 7062.2 ms [2020-11-10 22:58:22 main:574] : INFO : Epoch 88 | loss: 0.000532839 | val_loss: 0.000527973 | Time: 6934.91 ms [2020-11-10 22:58:29 main:574] : INFO : Epoch 89 | loss: 0.000510308 | val_loss: 0.000507914 | Time: 6988.07 ms [2020-11-10 22:58:36 main:574] : INFO : Epoch 90 | loss: 0.00048958 | val_loss: 0.000489514 | Time: 6918.61 ms [2020-11-10 22:58:43 main:574] : INFO : Epoch 91 | loss: 0.000468997 | val_loss: 0.00046725 | Time: 6883.86 ms [2020-11-10 22:58:50 main:574] : INFO : Epoch 92 | loss: 0.000450373 | val_loss: 0.000450005 | Time: 7020.88 ms [2020-11-10 22:58:57 main:574] : INFO : Epoch 93 | loss: 0.000432254 | val_loss: 0.000433222 | Time: 7024.02 ms [2020-11-10 22:59:04 main:574] : INFO : Epoch 94 | loss: 0.000416165 | val_loss: 0.000413735 | Time: 6963.36 ms [2020-11-10 22:59:11 main:574] : INFO : Epoch 95 | loss: 0.000399045 | val_loss: 0.000396759 | Time: 7045.34 ms [2020-11-10 22:59:18 main:574] : INFO : Epoch 96 | loss: 0.000383694 | val_loss: 0.000380753 | Time: 7013.78 ms [2020-11-10 22:59:25 main:574] : INFO : Epoch 97 | loss: 0.000368449 | val_loss: 0.000368706 | Time: 7065.3 ms [2020-11-10 22:59:32 main:574] : INFO : Epoch 98 | loss: 0.000354945 | val_loss: 0.00035357 | Time: 7021.13 ms [2020-11-10 22:59:39 main:574] : INFO : Epoch 99 | loss: 0.000342095 | val_loss: 0.000338639 | Time: 6981.63 ms [2020-11-10 22:59:46 main:574] : INFO : Epoch 100 | loss: 0.000329411 | val_loss: 0.000327403 | Time: 7006.24 ms [2020-11-10 22:59:53 main:574] : INFO : Epoch 101 | loss: 0.00031668 | val_loss: 0.000317998 | Time: 7049.63 ms [2020-11-10 23:00:00 main:574] : INFO : Epoch 102 | loss: 0.000305722 | val_loss: 0.000304192 | Time: 7057.01 ms [2020-11-10 23:00:07 main:574] : INFO : Epoch 103 | loss: 0.000294416 | val_loss: 0.000290844 | Time: 6944.91 ms [2020-11-10 23:00:14 main:574] : INFO : Epoch 104 | loss: 0.000282915 | val_loss: 0.000281978 | Time: 7008.35 ms [2020-11-10 23:00:22 main:574] : INFO : Epoch 105 | loss: 0.000272764 | val_loss: 0.00027222 | Time: 6988.64 ms [2020-11-10 23:00:29 main:574] : INFO : Epoch 106 | loss: 0.000263577 | val_loss: 0.00026078 | Time: 6992.4 ms [2020-11-10 23:00:36 main:574] : INFO : Epoch 107 | loss: 0.00025472 | val_loss: 0.000256488 | Time: 6977.38 ms [2020-11-10 23:00:43 main:574] : INFO : Epoch 108 | loss: 0.000245618 | val_loss: 0.000244815 | Time: 6964.93 ms [2020-11-10 23:00:50 main:574] : INFO : Epoch 109 | loss: 0.000237103 | val_loss: 0.000236149 | Time: 7124.11 ms [2020-11-10 23:00:57 main:574] : INFO : Epoch 110 | loss: 0.000229349 | val_loss: 0.000229871 | Time: 7119.61 ms [2020-11-10 23:01:04 main:574] : INFO : Epoch 111 | loss: 0.000222305 | val_loss: 0.000222119 | Time: 7213.77 ms [2020-11-10 23:01:11 main:574] : INFO : Epoch 112 | loss: 0.000215757 | val_loss: 0.000214575 | Time: 7089.9 ms [2020-11-10 23:01:19 main:574] : INFO : Epoch 113 | loss: 0.00020883 | val_loss: 0.000208499 | Time: 7091.75 ms [2020-11-10 23:01:26 main:574] : INFO : Epoch 114 | loss: 0.000202921 | val_loss: 0.000203349 | Time: 7182.01 ms [2020-11-10 23:01:33 main:574] : INFO : Epoch 115 | loss: 0.000196864 | val_loss: 0.000196915 | Time: 7043.79 ms [2020-11-10 23:01:40 main:574] : INFO : Epoch 116 | loss: 0.000190435 | val_loss: 0.000191156 | Time: 7025.69 ms [2020-11-10 23:01:47 main:574] : INFO : Epoch 117 | loss: 0.000185561 | val_loss: 0.000186561 | Time: 7155.98 ms [2020-11-10 23:01:54 main:574] : INFO : Epoch 118 | loss: 0.00018023 | val_loss: 0.000180252 | Time: 7011.07 ms [2020-11-10 23:02:01 main:574] : INFO : Epoch 119 | loss: 0.000176093 | val_loss: 0.000175605 | Time: 7000.57 ms [2020-11-10 23:02:08 main:574] : INFO : Epoch 120 | loss: 0.000170216 | val_loss: 0.00017343 | Time: 7012.79 ms [2020-11-10 23:02:15 main:574] : INFO : Epoch 121 | loss: 0.000166598 | val_loss: 0.000166905 | Time: 6964.77 ms [2020-11-10 23:02:23 main:574] : INFO : Epoch 122 | loss: 0.000162283 | val_loss: 0.000162475 | Time: 7065.61 ms [2020-11-10 23:02:30 main:574] : INFO : Epoch 123 | loss: 0.000158015 | val_loss: 0.000159515 | Time: 7136.61 ms [2020-11-10 23:02:37 main:574] : INFO : Epoch 124 | loss: 0.000153687 | val_loss: 0.000158978 | Time: 7172.03 ms [2020-11-10 23:02:44 main:574] : INFO : Epoch 125 | loss: 0.000151166 | val_loss: 0.000151392 | Time: 7091.58 ms [2020-11-10 23:02:51 main:574] : INFO : Epoch 126 | loss: 0.000146778 | val_loss: 0.000147793 | Time: 7110.88 ms [2020-11-10 23:02:58 main:574] : INFO : Epoch 127 | loss: 0.000142999 | val_loss: 0.000142839 | Time: 7002.14 ms [2020-11-10 23:03:05 main:574] : INFO : Epoch 128 | loss: 0.000139683 | val_loss: 0.000138605 | Time: 7097.69 ms [2020-11-10 23:03:12 main:574] : INFO : Epoch 129 | loss: 0.000136641 | val_loss: 0.000137869 | Time: 6979.58 ms [2020-11-10 23:03:20 main:574] : INFO : Epoch 130 | loss: 0.00013412 | val_loss: 0.000136729 | Time: 7064.27 ms [2020-11-10 23:03:27 main:574] : INFO : Epoch 131 | loss: 0.000131174 | val_loss: 0.000133917 | Time: 7102.31 ms [2020-11-10 23:03:34 main:574] : INFO : Epoch 132 | loss: 0.000127575 | val_loss: 0.000127574 | Time: 6966.64 ms [2020-11-10 23:03:41 main:574] : INFO : Epoch 133 | loss: 0.000124949 | val_loss: 0.000126209 | Time: 7081.17 ms [2020-11-10 23:03:48 main:574] : INFO : Epoch 134 | loss: 0.0001229 | val_loss: 0.000122046 | Time: 7131.47 ms [2020-11-10 23:03:55 main:574] : INFO : Epoch 135 | loss: 0.000121345 | val_loss: 0.000120496 | Time: 7081.4 ms [2020-11-10 23:04:02 main:574] : INFO : Epoch 136 | loss: 0.000117063 | val_loss: 0.000119963 | Time: 7164.05 ms [2020-11-10 23:04:10 main:574] : INFO : Epoch 137 | loss: 0.000114897 | val_loss: 0.00011548 | Time: 7083.67 ms [2020-11-10 23:04:17 main:574] : INFO : Epoch 138 | loss: 0.000112385 | val_loss: 0.000111787 | Time: 7100.63 ms [2020-11-10 23:04:24 main:574] : INFO : Epoch 139 | loss: 0.000110543 | val_loss: 0.000112898 | Time: 7003.16 ms [2020-11-10 23:04:31 main:574] : INFO : Epoch 140 | loss: 0.000108948 | val_loss: 0.000109572 | Time: 7025.67 ms [2020-11-10 23:04:38 main:574] : INFO : Epoch 141 | loss: 0.00010598 | val_loss: 0.000107658 | Time: 7057.19 ms [2020-11-10 23:04:45 main:574] : INFO : Epoch 142 | loss: 0.000104257 | val_loss: 0.000105647 | Time: 6989.34 ms [2020-11-10 23:04:52 main:574] : INFO : Epoch 143 | loss: 0.000102423 | val_loss: 0.000102838 | Time: 7071.56 ms [2020-11-10 23:04:59 main:574] : INFO : Epoch 144 | loss: 0.000100961 | val_loss: 0.000101859 | Time: 6998.3 ms [2020-11-10 23:05:06 main:574] : INFO : Epoch 145 | loss: 9.95228e-05 | val_loss: 9.936e-05 | Time: 7049.25 ms [2020-11-10 23:05:13 main:574] : INFO : Epoch 146 | loss: 9.68995e-05 | val_loss: 9.95065e-05 | Time: 7074.5 ms [2020-11-10 23:05:21 main:574] : INFO : Epoch 147 | loss: 9.47818e-05 | val_loss: 9.55538e-05 | Time: 7094.1 ms [2020-11-10 23:05:28 main:574] : INFO : Epoch 148 | loss: 9.35033e-05 | val_loss: 9.61493e-05 | Time: 7142.45 ms [2020-11-10 23:05:35 main:574] : INFO : Epoch 149 | loss: 9.17597e-05 | val_loss: 9.29108e-05 | Time: 7041.56 ms [2020-11-10 23:05:42 main:574] : INFO : Epoch 150 | loss: 9.09808e-05 | val_loss: 9.05009e-05 | Time: 6995.43 ms [2020-11-10 23:05:49 main:574] : INFO : Epoch 151 | loss: 8.91878e-05 | val_loss: 8.82378e-05 | Time: 6994.18 ms [2020-11-10 23:05:56 main:574] : INFO : Epoch 152 | loss: 8.74653e-05 | val_loss: 9.05337e-05 | Time: 7033.6 ms [2020-11-10 23:06:03 main:574] : INFO : Epoch 153 | loss: 8.62677e-05 | val_loss: 8.78764e-05 | Time: 6996.82 ms [2020-11-10 23:06:10 main:574] : INFO : Epoch 154 | loss: 8.43915e-05 | val_loss: 8.65307e-05 | Time: 7029.04 ms [2020-11-10 23:06:17 main:574] : INFO : Epoch 155 | loss: 8.346e-05 | val_loss: 8.6233e-05 | Time: 7017.27 ms [2020-11-10 23:06:24 main:574] : INFO : Epoch 156 | loss: 8.24113e-05 | val_loss: 8.35452e-05 | Time: 7079.1 ms [2020-11-10 23:06:32 main:574] : INFO : Epoch 157 | loss: 8.10305e-05 | val_loss: 8.13335e-05 | Time: 7113.41 ms [2020-11-10 23:06:39 main:574] : INFO : Epoch 158 | loss: 7.93885e-05 | val_loss: 8.1992e-05 | Time: 7146.05 ms [2020-11-10 23:06:46 main:574] : INFO : Epoch 159 | loss: 7.80502e-05 | val_loss: 8.05213e-05 | Time: 7163.42 ms [2020-11-10 23:06:53 main:574] : INFO : Epoch 160 | loss: 7.7495e-05 | val_loss: 7.70069e-05 | Time: 7067.96 ms [2020-11-10 23:07:00 main:574] : INFO : Epoch 161 | loss: 7.5891e-05 | val_loss: 7.65793e-05 | Time: 7075.59 ms [2020-11-10 23:07:07 main:574] : INFO : Epoch 162 | loss: 7.52613e-05 | val_loss: 7.61491e-05 | Time: 7022.77 ms [2020-11-10 23:07:14 main:574] : INFO : Epoch 163 | loss: 7.39113e-05 | val_loss: 7.35948e-05 | Time: 6953.59 ms [2020-11-10 23:07:21 main:574] : INFO : Epoch 164 | loss: 7.26203e-05 | val_loss: 7.26851e-05 | Time: 6900.52 ms [2020-11-10 23:07:28 main:574] : INFO : Epoch 165 | loss: 7.0974e-05 | val_loss: 7.19961e-05 | Time: 7026.03 ms [2020-11-10 23:07:36 main:574] : INFO : Epoch 166 | loss: 7.03245e-05 | val_loss: 7.13911e-05 | Time: 7084.23 ms [2020-11-10 23:07:43 main:574] : INFO : Epoch 167 | loss: 6.9359e-05 | val_loss: 7.14872e-05 | Time: 7196.76 ms [2020-11-10 23:07:50 main:574] : INFO : Epoch 168 | loss: 6.87889e-05 | val_loss: 6.87633e-05 | Time: 7088.1 ms [2020-11-10 23:07:57 main:574] : INFO : Epoch 169 | loss: 6.77472e-05 | val_loss: 6.92248e-05 | Time: 7201.55 ms [2020-11-10 23:08:04 main:574] : INFO : Epoch 170 | loss: 6.67013e-05 | val_loss: 6.79023e-05 | Time: 7100.26 ms [2020-11-10 23:08:12 main:574] : INFO : Epoch 171 | loss: 6.62993e-05 | val_loss: 6.56169e-05 | Time: 7026.5 ms [2020-11-10 23:08:19 main:574] : INFO : Epoch 172 | loss: 6.4539e-05 | val_loss: 6.60982e-05 | Time: 7039.93 ms [2020-11-10 23:08:26 main:574] : INFO : Epoch 173 | loss: 6.41781e-05 | val_loss: 6.38891e-05 | Time: 7022.24 ms [2020-11-10 23:08:33 main:574] : INFO : Epoch 174 | loss: 6.38053e-05 | val_loss: 6.53492e-05 | Time: 7035.16 ms [2020-11-10 23:08:40 main:574] : INFO : Epoch 175 | loss: 6.23491e-05 | val_loss: 6.30167e-05 | Time: 7016.92 ms [2020-11-10 23:08:47 main:574] : INFO : Epoch 176 | loss: 6.1474e-05 | val_loss: 6.27854e-05 | Time: 7019.48 ms [2020-11-10 23:08:54 main:574] : INFO : Epoch 177 | loss: 6.13518e-05 | val_loss: 6.46909e-05 | Time: 6991.36 ms [2020-11-10 23:09:01 main:574] : INFO : Epoch 178 | loss: 6.03193e-05 | val_loss: 6.39267e-05 | Time: 6958.26 ms [2020-11-10 23:09:08 main:574] : INFO : Epoch 179 | loss: 6.00936e-05 | val_loss: 5.90617e-05 | Time: 6969.43 ms [2020-11-10 23:09:15 main:574] : INFO : Epoch 180 | loss: 5.83303e-05 | val_loss: 5.96351e-05 | Time: 6979.97 ms [2020-11-10 23:09:22 main:574] : INFO : Epoch 181 | loss: 5.7931e-05 | val_loss: 5.8044e-05 | Time: 7047.17 ms [2020-11-10 23:09:29 main:574] : INFO : Epoch 182 | loss: 5.73007e-05 | val_loss: 5.88643e-05 | Time: 6955.55 ms [2020-11-10 23:09:36 main:574] : INFO : Epoch 183 | loss: 5.63306e-05 | val_loss: 5.69699e-05 | Time: 6993.2 ms [2020-11-10 23:09:43 main:574] : INFO : Epoch 184 | loss: 5.63201e-05 | val_loss: 5.82794e-05 | Time: 7013.96 ms [2020-11-10 23:09:50 main:574] : INFO : Epoch 185 | loss: 5.49159e-05 | val_loss: 5.70098e-05 | Time: 6971.36 ms [2020-11-10 23:09:57 main:574] : INFO : Epoch 186 | loss: 5.49511e-05 | val_loss: 5.72213e-05 | Time: 6989.5 ms [2020-11-10 23:10:04 main:574] : INFO : Epoch 187 | loss: 5.42177e-05 | val_loss: 5.56542e-05 | Time: 7031.29 ms [2020-11-10 23:10:12 main:574] : INFO : Epoch 188 | loss: 5.36986e-05 | val_loss: 5.79639e-05 | Time: 7045.1 ms [2020-11-10 23:10:19 main:574] : INFO : Epoch 189 | loss: 5.27843e-05 | val_loss: 5.39769e-05 | Time: 7028.29 ms [2020-11-10 23:10:26 main:574] : INFO : Epoch 190 | loss: 5.16681e-05 | val_loss: 5.26909e-05 | Time: 6990.67 ms [2020-11-10 23:10:33 main:574] : INFO : Epoch 191 | loss: 5.17481e-05 | val_loss: 5.12483e-05 | Time: 6930.18 ms [2020-11-10 23:10:40 main:574] : INFO : Epoch 192 | loss: 5.14632e-05 | val_loss: 5.28651e-05 | Time: 6924.05 ms [2020-11-10 23:10:40 main:597] : INFO : Saving trained model to model-final.pt, val_loss 5.28651e-05 [2020-11-10 23:10:40 main:603] : INFO : Saving end state to config to file [2020-11-10 23:10:40 main:608] : INFO : Success, exiting.. 23:10:40 (712): called boinc_finish(0) </stderr_txt> ]]>
©2022 MLC@Home Team
A project of the Cognition, Robotics, and Learning (CORAL) Lab at the University of Maryland, Baltimore County (UMBC)